linregEst

linregStart

linregEnd

tuning parameter for the rank. The default value corresponds
to the rank function in Matlab.

rank_lim

this matrix is returned by <code>linregStart</code>

Umodel

Function that performs multivariate multiple linear regression modelling
(\(Y = XB + E\)) according to a principal component regression (PCR)
approach where the number of components equals the number of nonzero
eigenvalues (generalised inverse).

multivariate

internal

regression

General linear modeling with multiple responses (MANCOVA). An overall p-value for each model term is calculated by the 50-50 MANOVA method by Langsrud (2002) <doi:10.1111/1467-9884.00320>, which handles collinear responses. Rotation testing, described by Langsrud (2005) <doi:10.1007/s11222-005-4789-5>, is used to compute adjusted single response p-values according to familywise error rates and false discovery rates (FDR). The approach to FDR is described in the appendix of Moen et al. (2005) <doi:10.1128/AEM.71.4.2086-2094.2005>. Unbalanced designs are handled by Type II sums of squares as argued in Langsrud (2003) <doi:10.1023/A:1023260610025>. Furthermore, the Type II philosophy is extended to continuous design variables as described in Langsrud et al. (2007) <doi:10.1080/02664760701594246>. This means that the method is invariant to scale changes and that common pitfalls are avoided.

linregEst: Linear regression estimation

Description

Usage

Arguments

Value

Details

See Also